Data Mining for Internet of Things: A Survey

被引:369
|
作者
Tsai, Chun-Wei [1 ]
Lai, Chin-Feng [2 ]
Chiang, Ming-Chao [3 ]
Yang, Laurence T. [4 ,5 ]
机构
[1] Chia Nan Univ Pharm & Sci, Dept Appl Informat & Multimedia, Tainan 71710, Taiwan
[2] Natl Chung Cheng Univ, Dept Comp Sci & Informat Engn, Chiayi 62102, Taiwan
[3] Natl Sun Yat Sen Univ, Dept Comp Sci & Engn, Kaohsiung 80424, Taiwan
[4] Huazhong Univ Sci & Technol, Sch Comp Sci & Techol, Wuhan, Peoples R China
[5] St Francis Xavier Univ, Dept Comp Sci, Antigonish, NS, Canada
来源
关键词
Internet of Things; data mining; WIRELESS SENSOR NETWORKS; SMART; SYSTEM; CHALLENGES; EFFICIENT; CLASSIFICATION; OPPORTUNITIES; OPTIMIZATION; ARCHITECTURE; TECHNOLOGY;
D O I
10.1109/SURV.2013.103013.00206
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
It sounds like mission impossible to connect everything on the earth together via internet, but Internet of Things (IoT) will dramatically change our life in the foreseeable future, by making many "impossibles" possible. To many, the massive data generated or captured by IoT are considered having highly useful and valuable information. Data mining will no doubt play a critical role in making this kind of system smart enough to provide more convenient services and environments. This paper begins with a discussion of the IoT. Then, a brief review of the features of "data from IoT" and "data mining for IoT' is given. Finally, changes, potentials, open issues, and future trends of this field are addressed.
引用
收藏
页码:77 / 97
页数:21
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